We are looking for a highly skilled Data Engineer to support the design, development, and optimization of enterprise data pipelines and analytics platforms. The role will focus on building reliable, scalable data solutions that enable timely and actionable insights for business stakeholders.
You will work closely with Data & Analytics teams to transform, process, and deliver high -quality datasets using modern data stack technologies such as Snowflake, DBT, and AWS. The primary objective is to ensure efficient data flow, strong data quality, and support for analytics and reporting use cases.
Key Responsibilities
Develop and maintain data pipelines for ingestion, transformation, and loading of data from multiple sources using SQL, Python, and DBT
Build and optimize data models and transformation layers in DBT
Work extensively with Snowflake (SnowSQL, Snowpipe, query optimization, cost management)
Support AWS -based data architecture (S3, Glue, Lambda, Redshift, CloudWatch)
Implement and maintain workflow orchestration using Airflow or similar tools
Enhance existing ETL/ELT workflows and improve performance and scalability
Ensure data quality, validation, and reliability through monitoring and testing frameworks
Collaborate with BI and Analytics teams to deliver analytics -ready datasets
Troubleshoot data issues and support ad -hoc data requests
Follow best practices for version control (Git), documentation, and deployment
Requirements
7–10 years of relevant experience in Data Engineering / Analytics Engineering
Strong hands -on expertise in:
Snowflake (must -have)
DBT (must -have)
SQL (advanced) and Python
Experience working with AWS services (S3, Glue, Lambda, Redshift, etc.)
Experience with workflow orchestration tools (Airflow preferred)
Strong understanding of data warehousing, ETL/ELT, and data modeling concepts
Working knowledge of Power BI
Experience with Git/version control systems
Preferred Requirements
Exposure to data observability / data quality tools
Experience with streaming technologies (Kafka, Kinesis)
Familiarity with data governance and cataloging tools
Experience working in cross -functional or distributed teams
Benefits
Free Health Insurance – Comprehensive coverage for you and your dependents.
Work -Life Balance – Flexible work arrangements and realistic workloads to help you maintain a healthy balance.
Healthy Work Culture – A collaborative, respectful, and growth -oriented environment.
Provident Fund (PF) and Gratuity benefits as per statutory norms
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